A study on the personalized learning path recommendation of intelligent learning system based on user behavior characteristic analysis

Xuekong Zhao; Mingxue Deng

doi:10.1117/12.3026366

27 March 2024 A study on the personalized learning path recommendation of intelligent learning system based on user behavior characteristic analysis

Xuekong Zhao, Mingxue Deng

Author Affiliations +

Proceedings Volume 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023); 131051N (2024) https://doi.org/10.1117/12.3026366
Event: 3rd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 2023, Qingdao, China

Abstract

At present, the rapid development of Internet information technology has brought convenience to education and teaching. E-learning based on network has become an important way of learning. However, the traditional E-learning learning environment usually only provides course learning resources by the fixed preset program, which is not friendly to the user's personalized learning experience. Intelligent learning system (ILS) is a support environment that can dynamically provide personalized and intelligent learning services by diagnosing the individual differences of learners' users. It mainly provides current users with suitable learning paths or learning resources via personalized recommendation technology, so as to meet users' learning needs and improve their learning experience. However, the current research on intelligent learning system is still in the exploratory stage. Many researchers have studied intelligent learning system from different perspectives, but their research achievements still need to be explored and improved on the effect of intelligent recommendation. Based on this, this paper will further explore the key technology of personalized recommendation of intelligent learning system on the basis of the related research case analysis. In order to improve the recommendation accuracy of intelligent learning system, we will model and analyze the user behavior characteristics, and further explore the recommendation solution of personalized learning path of the system. The simulation experiment shows that the research results have a good personalized recommendation effect, which can effectively diagnose and analyze the current user's learning state characteristics, and then dynamically provide a suitable personalized learning path to meet the user's learning needs.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xuekong Zhao and Mingxue Deng "A study on the personalized learning path recommendation of intelligent learning system based on user behavior characteristic analysis", Proc. SPIE 13105, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2023), 131051N (27 March 2024); https://doi.org/10.1117/12.3026366

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Intelligence systems

Online learning

Analytical research

Mining

Systems modeling

Detection and tracking algorithms

Internet

Show All Keywords

Keywords/Phrases

Search In:

Publication Years